Sung is an associate professor at the Hong Kong University of Science and Technology. He was a post-doc at the Program Analysis Group at MIT.
He received his Ph.D. (thesis: Adaptive Bug Prediction By Analyzing Software History) in the Computer Science Department at the University of California, Santa Cruz.
He has worked for Nara Vision Co. Ltd which is one of the leading Internet software companies in Korea for six years as a CTO.
He got his BS in Electrical Engineering from Daegu University, Korea.
His research area is Software Engineering, focusing on deep learning based code generation, software evolution, repository data mining, development social network mining, program analysis, and empirical studies. His chief research interest is programmer productivity, in particular, identifying faults in program development or in deployed programs by mining software repositories, source code (static analysis), and program execution (dynamic analysis).

"REMI: Defect Prediction for Efficient API Testing" (Industry track)
by Mijung Kim, Jaechang Nam, Jaehyuk Yeon and Soonhwang Choi and Sunghun Kim.
In Proceedings of the 10th European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2015),
Bergamo, Italy, August 31–September 4, 2015. This work shows defect prediction is useful in practice (Samsung).[Slides]

"Heterogeneous Defect Prediction"
by Jaechang Nam and Sunghun Kim.
In Proceedings of the 10th European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2015),
Bergamo, Italy, August 31–September 4, 2015.
[Slides]

"Crowd Debugging"
by Fuxiang Chen and Sunghun Kim.
In Proceedings of the 10th European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2015),
Bergamo, Italy, August 31–September 4, 2015.
[Slides]